Charless C. Fowlkes

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Recurrent Scene Parsing with Perspective Understanding in the Loop

Shu Kong, Charless C. Fowlkes, Shu Kong, 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Extracting Global Structure from Gene Expression Profiles

Jitendra Malik, Charless C. Fowlkes, Serge J. Belongie, 2002 .

Inferring nuclear movements from fixed material

Jitendra Malik, Charless C. Fowlkes, 2006 .

Modularized Textual Grounding for Counterfactual Resilience

Shu Kong, Charless C. Fowlkes, Zhiyuan Fang, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Globally-optimal greedy algorithms for tracking a variable number of objects

Charless C. Fowlkes, Deva Ramanan, Hamed Pirsiavash, 2011, CVPR 2011.

Analysis of in vivo single cell behavior by high throughput, human-in-the-loop segmentation of three-dimensional images

Charless C. Fowlkes, Michael Chiang, Sam Hallman, 2015, BMC Bioinformatics.

Spatially Aware Dictionary Learning and Coding for Fossil Pollen Identification

Shu Kong, Charless C. Fowlkes, Surangi Punyasena, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Learning Probabilistic Models for Contour Completion in Natural Images

Jitendra Malik, Charless C. Fowlkes, Xiaofeng Ren, 2008, International Journal of Computer Vision.

A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics

Jitendra Malik, Charless C. Fowlkes, David R. Martin, 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.

Energy-Based Spherical Sparse Coding pdf

Charless C. Fowlkes, Bailey Kong, Bailey Kong, 2017, ArXiv.

Learning Optimal Parameters For Multi-target Tracking

Charless C. Fowlkes, Shaofei Wang, 2015, BMVC.

Discriminative models for static human-object interactions

Charless C. Fowlkes, Deva Ramanan, Chaitanya Desai, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops.

PointCloudXplore: Visual Analysis of 3D Gene Expression Data Using Physical Views and Parallel Coordinates

Jitendra Malik, Hans Hagen, Bernd Hamann, 2006, EuroVis.

Efficient spatiotemporal grouping using the Nystrom method

Jitendra Malik, Charless C. Fowlkes, Serge J. Belongie, 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

Covering trees and lower-bounds on quadratic assignment

Julian Yarkony, Charless C. Fowlkes, Alexander T. Ihler, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Accurate motion deblurring using camera motion tracking and scene depth

Charless C. Fowlkes, Pai H. Chou, Hyeoungho Bae, 2013, 2013 IEEE Workshop on Applications of Computer Vision (WACV).

Low-Rank Bilinear Pooling for Fine-Grained Classification

Shu Kong, Charless C. Fowlkes, Shu Kong, 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Detecting Dynamic Objects with Multi-view Background Subtraction

Charless C. Fowlkes, Sam Hallman, Raúl Díaz, 2013, 2013 IEEE International Conference on Computer Vision.

Hierarchical Planar Correlation Clustering for Cell Segmentation

Julian Yarkony, Charless C. Fowlkes, Chong Zhang, 2014, EMMCVPR.

The Open World of Micro-Videos pdf

Charless C. Fowlkes, Deva Ramanan, Grégory Rogez, 2016, ArXiv.

Lifting GIS Maps into Strong Geometric Context pdf

Charless C. Fowlkes, Minhaeng Lee, Raúl Díaz, 2015, ArXiv.

Laplacian Pyramid Reconstruction and Refinement for Semantic Segmentation

Charless C. Fowlkes, Golnaz Ghiasi, Golnaz Ghiasi, 2016, ECCV.

Planar Ultrametrics for Image Segmentation

Julian Yarkony, Charless C. Fowlkes, Julian Yarkony, 2015, NIPS.

Parsing Occluded People

Yi Yang, Charless C. Fowlkes, Deva Ramanan, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Spectral Partitioning with Indefinite Kernels Using the Nyström Extension

Jitendra Malik, Fan Chung Graham, Charless C. Fowlkes, 2002, ECCV.

Fine-Grained Forensic Matching

Charless C. Fowlkes, Deva Ramanan, Bailey Kong, 2017, British Machine Vision Conference.

Layered object detection for multi-class segmentation

Yi Yang, Charless C. Fowlkes, Deva Ramanan, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Cluster-Wise Ratio Tests for Fast Camera Localization

Charless C. Fowlkes, Raúl Díaz, Raúl Díaz, 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Shape-based pedestrian parsing

Charless C. Fowlkes, Yihang Bo, Yihang Bo, 2011, CVPR 2011.

Structured Triplet Learning with POS-Tag Guided Attention for Visual Question Answering

Limin Wang, Charless C. Fowlkes, Yu Qiao, 2018, 2018 IEEE Winter Conference on Applications of Computer Vision (WACV).

Recurrent Pixel Embedding for Instance Grouping

Shu Kong, Charless C. Fowlkes, Shu Kong, 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Bilinear classifiers for visual recognition

Charless C. Fowlkes, Deva Ramanan, Hamed Pirsiavash, 2009, NIPS.

Learning affinity functions for image segmentation: combining patch-based and gradient-based approaches

Jitendra Malik, Charless C. Fowlkes, David R. Martin, 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..

Familiar configuration enables figure/ground assignment in natural scenes

Jitendra Malik, Charless C. Fowlkes, Xiaofeng Ren, 2010 .

Layered Object Models for Image Segmentation

Yi Yang, Charless C. Fowlkes, Deva Ramanan, 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Spectral grouping using the Nystrom method

Jitendra Malik, Fan Chung Graham, Charless C. Fowlkes, 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Do We Need More Training Data or Better Models for Object Detection?

Charless C. Fowlkes, Deva Ramanan, Xiangxin Zhu, 2012, BMVC.

Weakly-Supervised Action Localization With Background Modeling

Charless C. Fowlkes, Deva Ramanan, Phuc Xuan Nguyen, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Pixels, Voxels, and Views: A Study of Shape Representations for Single View 3D Object Shape Prediction

Derek Hoiem, Charless C. Fowlkes, Daeyun Shin, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Discriminative Models for Multi-Class Object Layout

Charless C. Fowlkes, Deva Ramanan, Chaitanya Desai, 2009, 2009 IEEE 12th International Conference on Computer Vision.

Oriented edge forests for boundary detection

Charless C. Fowlkes, Sam Hallman, Sam Hallman, 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Tightening MRF Relaxations with Planar Subproblems

Julian Yarkony, Charless C. Fowlkes, Alexander T. Ihler, 2011, UAI.

Image Reconstruction with Predictive Filter Flow pdf

Shu Kong, Charless C. Fowlkes, Shu Kong, 2018, ArXiv.

Learning to optimally detect image boundaries using brightness, color and texture

Jitendra Malik, Charless C. Fowlkes, David R. Martin, 2010 .

Patch Mosaic for Fast Motion Deblurring

Charless C. Fowlkes, Pai H. Chou, Hyeoungho Bae, 2012, ACCV.

Learning Optimal Parameters for Multi-target Tracking with Contextual Interactions

Charless C. Fowlkes, Shaofei Wang, Shaofei Wang, 2016, International Journal of Computer Vision.

Segmenting Planar Superpixel Adjacency Graphs w.r.t. Non-planar Superpixel Affinity Graphs

B. S. Manjunath, Julian Yarkony, Hanspeter Pfister, 2013, EMMCVPR.

3D Scene Reconstruction With Multi-Layer Depth and Epipolar Transformers

Charless C. Fowlkes, Erik B. Sudderth, Daeyun Shin, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

On Image segmentation using Fractional Gradients-Learning Model Parameters using Approximate Marginal Inference pdf

Charless C. Fowlkes, Anish Acharya, Uddipan Mukherjee, 2016, ArXiv.

From contours to regions: An empirical evaluation

Jitendra Malik, Charless C. Fowlkes, Michael Maire, 2009, CVPR.

Learning to detect natural image boundaries using local brightness, color, and texture cues

Jitendra Malik, Charless C. Fowlkes, David R. Martin, 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Occlusion Coherence: Localizing Occluded Faces with a Hierarchical Deformable Part Model

Charless C. Fowlkes, Golnaz Ghiasi, Golnaz Ghiasi, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Occlusion Coherence: Detecting and Localizing Occluded Faces pdf

Charless C. Fowlkes, Golnaz Ghiasi, Golnaz Ghiasi, 2015, ArXiv.

Photo Aesthetics Ranking Network with Attributes and Content Adaptation

Radomír Mech, Zhe L. Lin, Shu Kong, 2016, ECCV.

Planar Cycle Covering Graphs pdf

Julian Yarkony, Charless C. Fowlkes, Alexander T. Ihler, 2011, UAI.

Dataset S2 Part 1

Mao Li, Charless C. Fowlkes, Luke Mander, 2013 .

Fine-Grained Facial Expression Analysis Using Dimensional Emotion Model pdf

Tao Chen, Feng Zhou, Shu Kong, 2018, Neurocomputing.

Registering Drosophila embryos at cellular resolution to build a quantitative 3D atlas of gene expression patterns and morphology

Jitendra Malik, Charless C. Fowlkes, Cris L. Luengo Hendriks, 2005, 2005 IEEE Computational Systems Bioinformatics Conference - Workshops (CSBW'05).

The Diamond Eye image mining system

Charless C. Fowlkes, Michael C. Burl, Joseph Roden, 1999, Proceedings. Eleventh International Conference on Scientific and Statistical Database Management.

Fast Planar Correlation Clustering for Image Segmentation

Julian Yarkony, Charless C. Fowlkes, Alexander T. Ihler, 2012, ECCV.

Figure/Ground Assignment in Natural Images

Jitendra Malik, Charless C. Fowlkes, Xiaofeng Ren, 2006, ECCV.

Pixel-Wise Attentional Gating for Scene Parsing

Shu Kong, Charless C. Fowlkes, Shu Kong, 2019, 2019 IEEE Winter Conference on Applications of Computer Vision (WACV).

Using contours to detect and localize junctions in natural images

Jitendra Malik, Charless C. Fowlkes, Pablo Andrés Arbeláez, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

Learning to Detect Natural Image Boundaries Using Brightness and Texture

Jitendra Malik, Charless C. Fowlkes, David R. Martin, 2002, NIPS.

Cross-Domain Image Matching with Deep Feature Maps

Charless C. Fowlkes, Deva Ramanan, Bailey Kong, 2018, International Journal of Computer Vision.

Diamond Eye: a distributed architecture for image data mining

Charless C. Fowlkes, Saleem Mukhtar, Michael C. Burl, 1999, Defense, Security, and Sensing.

Multi-layer Depth and Epipolar Feature Transformers for 3D Scene Reconstruction

Charless C. Fowlkes, Erik B. Sudderth, Daeyun Shin, 2019, CVPR Workshops.

Nonparametric identification of regulatory interactions from spatial and temporal gene expression data

James Brown, Claire J. Tomlin, Charless C. Fowlkes, 2010, BMC Bioinformatics.

Lifting GIS maps into strong geometric context for scene understanding

Charless C. Fowlkes, Minhaeng Lee, Raúl Díaz, 2016, 2016 IEEE Winter Conference on Applications of Computer Vision (WACV).

Multigrid Predictive Filter Flow for Unsupervised Learning on Videos pdf

Shu Kong, Charless C. Fowlkes, Shu Kong, 2019, ArXiv.

Laplacian Reconstruction and Refinement for Semantic Segmentation pdf

Charless C. Fowlkes, Golnaz Ghiasi, 2016, ArXiv.

Integrating local classifiers through nonlinear dynamics on label graphs with an application to image segmentation

Andrew Gelfand, Max Welling, Charless C. Fowlkes, 2011, 2011 International Conference on Computer Vision.

Space-Time Localization and Mapping

Charless C. Fowlkes, Minhaeng Lee, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Coupling visualization and data analysis for knowledge discovery from multi-dimensional scientific data

Hans Hagen, Bernd Hamann, Oliver Rübel, 2010, ICCS.

Predicting Camera Viewpoint Improves Cross-dataset Generalization for 3D Human Pose Estimation

Charless C. Fowlkes, Zhe Wang, Daeyun Shin, 2020, ECCV Workshops.

Learning Multi-target Tracking with Quadratic Object Interactions pdf

Charless C. Fowlkes, Shaofei Wang, 2014, ArXiv.

Scale-invariant contour completion using conditional random fields

Jitendra Malik, Charless C. Fowlkes, Xiaofeng Ren, 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.

Using Segmentation to Predict the Absence of Occluded Parts

Charless C. Fowlkes, Golnaz Ghiasi, Golnaz Ghiasi, 2015, BMVC.

Do We Need More Training Data?

Charless C. Fowlkes, Deva Ramanan, Xiangxin Zhu, 2015, International Journal of Computer Vision.

Exploring aesthetic principles of spatial composition through stock photography

Charless C. Fowlkes, Stephen E. Palmer, Jonathan S. Gardner, 2010 .

From contours to regions: An empirical evaluation

Jitendra Malik, Charless C. Fowlkes, Pablo Andrés Arbeláez, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

Active Testing: An Efficient and Robust Framework for Estimating Accuracy pdf

Charless C. Fowlkes, Deva Ramanan, Phuc Xuan Nguyen, 2018, ICML.

Integrating Data Clustering and Visualization for the Analysis of 3D Gene Expression Data

Jitendra Malik, Hans Hagen, Bernd Hamann, 2010, IEEE ACM Trans. Comput. Biol. Bioinform..

CeMNet: Self-Supervised Learning for Accurate Continuous Ego-Motion Estimation

Charless C. Fowlkes, Minhaeng Lee, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Visual Exploration of Three-Dimensional Gene Expression Using Physical Views and Linked Abstract Views

Jitendra Malik, Hans Hagen, Bernd Hamann, 2007, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Multiresolution Models for Object Detection

Charless C. Fowlkes, Deva Ramanan, Dennis Park, 2010, ECCV.

PointCloudXplore 2: Visual Exploration of 3D Gene Expression

Jitendra Malik, Hans Hagen, Bernd Hamann, 2007, Visualization of Large and Unstructured Data Sets.

Pixel-wise Attentional Gating for Parsimonious Pixel Labeling pdf

Shu Kong, Charless C. Fowlkes, Shu Kong, 2018, ArXiv.

Cue Integration for Figure/Ground Labeling

Jitendra Malik, Charless C. Fowlkes, Xiaofeng Ren, 2005, NIPS.

On Measuring* the Ecological Validity of Local Figure-Ground Cues

Jitendra Malik, Charless C. Fowlkes, David R. Martin, 2005 .

Modular Framework for Visuomotor Language Grounding pdf

Charless C. Fowlkes, Roy Fox, Daeyun Shin, 2021, ArXiv.

How Much Does Globalization Help Segmentation ?

Charless C. Fowlkes, Jitendra Malik, 2004 .

Training data consists of pairs of Discriminative models for multi-class object layout

Charless C. Fowlkes, D. Ramanan, C. Desai, 2013 .

Fast Convolutional Sparse Coding ( FCSC )

Charless C. Fowlkes, B. Kong, 2014 .

A Quantitative Spatiotemporal Atlas of Gene Expression in the Drosophila Blastoderm

Charless C. Fowlkes, D. W. Knowles, M. Eisen, 2008, Cell.

A Conserved Developmental Patterning Network Produces Quantitatively Different Output in Multiple Species of Drosophila

Charless C. Fowlkes, Miriah D. Meyer, D. W. Knowles, 2011, PLoS genetics.

Natural-Scene Statistics Predict How the Figure–Ground Cue of Convexity Affects Human Depth Perception

Charless C. Fowlkes, M. Banks, Johannes Burge, 2010, The Journal of Neuroscience.

Three-dimensional morphology and gene expression in the Drosophila blastoderm at cellular resolution I: data acquisition pipeline

Charless C. Fowlkes, D. W. Knowles, M. Eisen, 2006, Genome Biology.

Three-dimensional morphology and gene expression in the Drosophila blastoderm at cellular resolution II: dynamics

Charless C. Fowlkes, Jitendra Malik, D. Sudar, 2006, Genome Biology.

Constructing a Quantitative Spatio-temporal Atlas of Gene Expression in the Drosophila Blastoderm

Charless C. Fowlkes, Clara, Knowles, 2007 .

Planarity matters: map inference in planar markov random fields with applications to computer vision

Charless C. Fowlkes, Julian Yarkony, 2012 .

Analysis of Gap Gene Regulation in a 3D Organism-Scale Model of the Drosophila melanogaster Embryo

Charless C. Fowlkes, M. Gribskov, A. Rundell, 2011, PloS one.

Recurrent Pixel Embedding for Instance Grouping — Supplementary Material

Charless C. Fowlkes, Shu Kong, 2018 .

Multiscale biomimetic topography for the alignment of neonatal and embryonic stem cell-derived heart cells.

Charless C. Fowlkes, Ronald A. Li, M. Khine, 2011, Tissue engineering. Part C, Methods.

Woman BrownPerson BluePerson Boy Counterfactual Phrase Grounding : woman in brown Result N / A

Charless C. Fowlkes, Yezhou Yang, Shu Kong, 2019 .

Quantitative Comparison of the Anterior-Posterior Patterning System in the Embryos of Five Drosophila Species

Charless C. Fowlkes, Zeba Wunderlich, A. DePace, 2018, G3: Genes, Genomes, Genetics.

Quantitative comparison of the anterior-posterior patterning system in the embryos of five Drosophila species

Charless C. Fowlkes, Zeba Wunderlich, A. DePace, 2018, bioRxiv.

Whole-body tissue stabilization and selective extractions via tissue-hydrogel hybrids for high-resolution intact circuit mapping and phenotyping

Charless C. Fowlkes, Nicholas C. Flytzanis, V. Gradinaru, 2015, Nature Protocols.

3d morphology and gene expression in the drosophila blastoderm at cellular resolution

Charless C. Fowlkes, M. Eisen, Jitendra Malik, 2006 .

Feed‐forward hierarchical model of the ventral visual stream applied to functional brain image classification

Charless C. Fowlkes, S. Potkin, A. Ihler, 2014, Human brain mapping.

Classification of grass pollen through the quantitative analysis of surface ornamentation and texture

Charless C. Fowlkes, Luke Mander, Washington Mio, 2013, Proceedings of the Royal Society B: Biological Sciences.

Improving the taxonomy of fossil pollen using convolutional neural networks and superresolution microscopy

Charless C. Fowlkes, M. Urban, C. Jaramillo, 2020, Proceedings of the National Academy of Sciences.

A gene expression atlas of a bicoid-depleted Drosophila embryo reveals early canalization of cell fate

Charless C. Fowlkes, Zeba Wunderlich, A. DePace, 2014, Development.

Shrink‐Film Configurable Multiscale Wrinkles for Functional Alignment of Human Embryonic Stem Cells and their Cardiac Derivatives

Charless C. Fowlkes, Ronald A. Li, Ajay Gopinathan, 2011, Advanced materials.

Integrated platform for functional monitoring of biomimetic heart sheets derived from human pluripotent stem cells.

Charless C. Fowlkes, Charless Fowlkes, Anna Grosberg, 2014, Biomaterials.

Quantitative analysis of axonal transport by using compartmentalized and surface micropatterned culture of neurons.

Charless C. Fowlkes, Noo Li Jeon, Hyung Joon Kim, 2012, ACS chemical neuroscience.

Tracking Objects with Column Generation

Julian Yarkony, Charless C. Fowlkes, Steffen Wolf, 2016 .

Multicolor sparse viral labeling and 3D digital tracing of enteric plexus in mouse proximal colon using a novel adeno‐associated virus capsid

Charless C. Fowlkes, Sripriya Ravindra Kumar, Y. Taché, 2020, Neurogastroenterology and motility : the official journal of the European Gastrointestinal Motility Society.

Visual Recognition Software for Binary Classification and Its Application to Spruce Pollen Identification

Charless C. Fowlkes, David K. Tcheng, Surangi W. Punyasena, 2016, PloS one.

A gene expression atlas of a bicoid-depleted Drosophila embryo reveals early canalization of cell fate

Charless C. Fowlkes, Zeba Wunderlich, A. DePace, 2014, bioRxiv.

Behavioral / Systems / Cognitive Title : Natural-scene statistics predict the influence of the figure-ground cue of convexity on human depth perception Abbreviated title : Natural-scene statistics influence human depth perception

Charless C. Fowlkes, M. Banks, Johannes Burge, 2009 .

Long-term Monocular Deprivation during Juvenile Critical Period Disrupts Binocular Integration in Mouse Visual Thalamus

Charless C. Fowlkes, Carey Y. L. Huh, S. Gandhi, 2019, The Journal of Neuroscience.

Three-dimensional morphology and gene expression in the Drosophila blastoderm at cellular resolution II: dynamics

Charless C. Fowlkes, D. W. Knowles, Jitendra Malik, 2006, Genome Biology.

Biodiversifying bioinspiration

Ashok K. Goel, Charless C. Fowlkes, R. Müller, 2018, Bioinspiration & biomimetics.

SURVEYING SHAPE SPACES

Charless C. Fowlkes, CHARLESS C. FOWLKES, 2022 .

Positional plasticity in regenerating Amybstoma mexicanum limbs is associated with cell proliferation and pathways of cellular differentiation

Charless C. Fowlkes, Antony T. Athippozhy, S. Voss, 2015, BMC Developmental Biology.

Discriminative models for multi-class object layout

Charless C. Fowlkes, D. Ramanan, C. Desai, 2009, ICCV.

ShoeRinsics: Shoeprint Prediction for Forensics with Intrinsic Decomposition

Charless C. Fowlkes, Shu Kong, Samia Shafique, 2022, ArXiv.

The Best of Both Worlds: Combining Model-based and Nonparametric Approaches for 3D Human Body Estimation

Charless C. Fowlkes, Zhe Wang, Jimei Yang, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Identification of peripheral neural circuits that regulate heart rate using optogenetic and viral vector strategies

Charless C. Fowlkes, J. D. Tompkins, Rosemary C Challis, 2018, Nature Communications.

Identification of peripheral neural circuits that regulate heart rate using optogenetic and viral vector strategies

Charless C. Fowlkes, J. D. Tompkins, Rosemary C Challis, 2018, bioRxiv.

Mining for Image

Charless C. Fowlkes, Joseph, RodenJet, 1999 .

How Much Does Globalization Help Segmentation ?

Charless C. Fowlkes, Jitendra Malik, 2004 .

Sparse Representations for Object- and Ego-Motion Estimations in Dynamic Scenes

Jeffrey L. Krichmar, Charless C. Fowlkes, Charless Fowlkes, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Camera Pose Matters: Improving Depth Prediction by Mitigating Pose Distribution Bias

Shu Kong, Charless C. Fowlkes, Yunhan Zhao, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Identification of peripheral neural circuits that regulate heart rate using optogenetic and viral vector strategies

Charless C. Fowlkes, G. Salama, V. Gradinaru, 2018, bioRxiv.

Exponential Moving Average Normalization for Self-supervised and Semi-supervised Learning

Subhransu Maji, Zhuowen Tu, Stefano Soatto, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Contour Detection and Hierarchical Image Segmentation

Charless C. Fowlkes, M Maire, P Arbeláez, 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Intermittent Stem Cell Cycling Balances Self-Renewal and Senescence of the C. elegans Germ Line

Charless C. Fowlkes, O. Cinquin, Michael Chiang, 2016, PLoS genetics.

Developmental Deficits in Thalamic Binocular Integration Revealed by In Vivo Thalamocortical Axon Imaging

Charless C. Fowlkes, Carey Y. L. Huh, S. Gandhi, 2019 .

Critical-Period Visual Deprivation Disrupts Binocular Integration but Spares Spatial Acuity in the Geniculocortical Pathway

Charless C. Fowlkes, Carey Y. L. Huh, S. Gandhi, 2018 .

Domain Decluttering: Simplifying Images to Mitigate Synthetic-Real Domain Shift and Improve Depth Estimation

Shu Kong, Charless C. Fowlkes, Yunhan Zhao, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Local figure-ground cues are valid for natural images.

Jitendra Malik, Charless C. Fowlkes, David R. Martin, 2007, Journal of vision.

Integrating Data Clustering and Visualization for the Analysis of 3D Gene Expression Data

O. Rubel, G.H. Weber, Min-Yu Huang, 2010, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Geometric Pose Affordance: 3D Human Pose with Scene Constraints pdf

Zhe Wang, Charless C. Fowlkes, Daeyun Shin, 2019, ArXiv.

A linearized framework and a new benchmark for model selection for fine-tuning pdf

Pietro Perona, Stefano Soatto, Hao Li, 2021, ArXiv.

Creating a Forensic Database of Shoeprints from Online Shoe-Tread Photos

Charless C. Fowlkes, Shu Kong, Samia Shafique, 2022, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

High-resolution structure-function mapping of intact hearts reveals altered sympathetic control of infarct border zones

Charless C. Fowlkes, G. Salama, I. Efimov, 2022, JCI insight.

Conditional Generative Adversarial Networks (cGANs) for Near Real-Time Precipitation Estimation from Multispectral GOES-16 Satellite Imageries - PERSIANN-cGAN

Charless C. Fowlkes, Charless Fowlkes, Negin Hayatbini, 2019, Remote. Sens..

Your representations are in the network: composable and parallel adaptation for large scale models

Charless C. Fowlkes, A. Achille, Avinash Ravichandran, 2023, 2303.04105.

Task2Vec: Task Embedding for Meta-Learning

Subhransu Maji, Pietro Perona, Stefano Soatto, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Weak Supervision and Referring Attention for Temporal-Textual Association Learning pdf

Shu Kong, Charless C. Fowlkes, Zhe Wang, 2020, ArXiv.

GeoFill: Reference-Based Image Inpainting of Scenes with Complex Geometry

Eli Shechtman, Charless C. Fowlkes, Charless Fowlkes, 2022, ArXiv.

SSCAP: Self-supervised Co-occurrence Action Parsing for Unsupervised Temporal Action Segmentation

Charless C. Fowlkes, Charless Fowlkes, Chunhui Liu, 2021, 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

Cross-Domain Forensic Shoeprint Matching

Charless C. Fowlkes, Deva Ramanan, Charless Fowlkes, 2017 .

GeoFill: Reference-Based Image Inpainting with Better Geometric Understanding

Charless C. Fowlkes, Connelly Barnes, Yuqian Zhou, 2022, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

Task Adaptive Parameter Sharing for Multi-Task Learning

Charless C. Fowlkes, Matthew Wallingford, A. Achille, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Celeganser: Automated Analysis of Nematode Morphology and Age

Shu Kong, Charless C. Fowlkes, Charless Fowlkes, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Classification of grass pollen through the quantitative analysis of surface ornamentation and texture

Charless C. Fowlkes, Fabian J Theis, J. Timmer, 2013 .

Classification of grass pollen through the quantitative analysis of surface ornamentation and texture.

Charless C. Fowlkes, W. Mio, S. Punyasena, 2013, Proceedings. Biological sciences.

Representation Consolidation for Training Expert Students pdf

Stefano Soatto, Charless C. Fowlkes, Charless Fowlkes, 2021, ArXiv.

Title Multiscale biomimetic topography for the alignment of neonataland embryonic stem cell-derived heart cells

Charless C. Fowlkes, Ronald A. Li, M. Khine, 2012 .

When Perspective Comes for Free: Improving Depth Prediction with Camera Pose Encoding pdf

Shu Kong, Charless C. Fowlkes, Yunhan Zhao, 2020, ArXiv.

Learning to detect natural image boundaries using local brightness, color, and texture cues

Charless C. Fowlkes, David R. Martin, Jitendra Malik, 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Weakly Supervised PatchNets : Learning Aggregated Patch Descriptors for Scene Recognition

Charless C. Fowlkes, Limin Wang, Y. Qiao, 2017 .

Shrink‐Film Configurable Multiscale Wrinkles for Functional Alignment of Human Embryonic Stem Cells and their Cardiac Derivatives

Charless C. Fowlkes, Ronald A. Li, M. Khine, 2011, Advanced materials.

Critical-Period Visual Deprivation Disrupts Binocular Integration but Spares Spatial Acuity in the Geniculocortical Pathway

Charless C. Fowlkes, Carey Y. L. Huh, S. Gandhi, 2018 .

Early Visual Experience Shapes Binocularity in the Mouse Thalamocortical Pathway

Charless C. Fowlkes, Carey Y. L. Huh, S. Gandhi, 2018, bioRxiv.

Developmental Deficits in Thalamic Binocular Integration Revealed by In Vivo Thalamocortical Axon Imaging

Charless C. Fowlkes, Carey Y. L. Huh, S. Gandhi, 2019 .

Alzheimer’s Disease Neuroimaging Initiative

Charless C. Fowlkes, S. Potkin, D. Keator, 2005 .

Guided Recommendation for Model Fine-Tuning

Charless C. Fowlkes, Z. Tu, Hao Li, 2023, Computer Vision and Pattern Recognition.

Learning to detect natural image boundaries using local brightness, color, and texture cues

Charless C. Fowlkes, David R. Martin, Jitendra Malik, 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Layered Object Models for Image Segmentation

Charless C. Fowlkes, Yi Yang, Sam Hallman, 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.